Note: The job is a remote job and is open to candidates in USA. Planet is a space and data company that designs, builds, and operates a large constellation of imaging satellites and a cloud-based data platform. The Senior Site Reliability Engineer will build, deploy, and operate critical compute software for satellite imaging operations across customer on-premises and cloud environments, ensuring reliability, scalability, and availability. The role also involves designing reproducible deployments, troubleshooting distributed systems, and collaborating with cross-functional engineering teams.
Responsibilities
- Build and deploy computing services and infrastructure in customer environments for a next-generation satellite operations and image processing end-to-end platform
- Operate in a high-impact, tight knit team to architect novel systems for air-gapped deployments at scale
- Clarify and surface requirements from ambiguous use cases defined by cross-functional stakeholders, including internal users and external customers
- Responsible for operations such as deployments, service orchestration, and documentation for cross platform stakeholders
- Scale architecture while ensuring availability of services
- Improve reliability and scalability by resolving edge cases, studying failure modes, and writing tests
- Participate in on-call rotations to ensure operational excellence
Skills
- 6+ years of experience building services that leverage cloud-native infrastructure and tooling
- Bachelor's degree in Computer Science or similar
- Experience deploying and maintaining bare-metal and cloud kubernetes through tools such as Talos, RKE2, Proxmox, or k3s
- Proficiency with Terraform, Ansible, Helm, Kustomize, and/or similar IaC / GitOps tooling
- Experience with CI/CD tooling, such as Jenkins, GitLab CI/CD, Argo CD, or CircleCI
- Experience successfully building, releasing, and supporting highly available, consistently performant services
- Knowledge of hardware and network level implications of on-prem compute
- Experience with platform optimization, particularly resource optimization, management, and cluster tuning in a constrained environment
- Ability to observe and troubleshoot distributed systems with tools such as Alloy, Prometheus, Grafana, and OpenTelemetry
- Advanced skills in Python, Bash, and other tooling as appropriate to build services and meet product goals
- Excellent communication skills and the ability to work through collaboration with cross-functional engineering teams
- Experience working with Jira for task management and progress tracking
- Experience with CUDA-based GPU programs
- Security expertise in sensitive environments, including implementing zero-trust architectures, hardening Kubernetes clusters, conducting security audits, and deploying workloads in air-gapped environments
Benefits
- Comprehensive Medical, Dental, and Vision plans
- Health Savings Account (HSA) with a company contribution
- Generous Paid Time Off in addition to holidays and company-wide days off
- 16 Weeks of Paid Parental Leave
- Wellness Program and Employee Assistance Program (EAP)
- Home Office Reimbursement
- Monthly Phone and Internet Reimbursement
- Tuition Reimbursement and access to LinkedIn Learning
- Equity
- Commuter Benefits (if local to an office)
- Volunteering Paid Time Off
- This role might be eligible for discretionary short-term and long-term incentives (bonus and equity).
- This is a full-time, remote position based in the United States or Canada. If located near an office, you are expected to work from that office 3 days per week.
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